Poster: TaintGrep: A Static Analysis Tool for Detecting Vulnerabilities of Android Apps Supporting User-defined Rules

Ruiguo Yang, Jiajin Cai, Xinhui Han
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引用次数: 2

Abstract

In this poster, we present TaintGrep, a novel static analysis approach to detect vulnerabilities of Android applications. This approach combines the advantages of semantic pattern matching and taint analysis to get better accuracy and be able to detect cross-function vulnerabilities. Compared with many traditional tools, TaintGrep does not require the full source code or building environment to analyze. Moreover, it supports users in defining their customized matching rules using their vulnerability mining experience, which makes this approach more flexible and scalable. In the preliminary experiment, we give a detailed analysis of the rules of two typical vulnerabilities: generic DoS and arbitrary file read/write, and have detected 77 0day vulnerabilities with these rules in 16 well-known Android applications.
海报:TaintGrep:用于检测支持自定义规则的Android应用程序漏洞的静态分析工具
在这张海报中,我们介绍了TaintGrep,一种新的静态分析方法,用于检测Android应用程序的漏洞。该方法结合了语义模式匹配和污点分析的优点,提高了准确性,并能够检测跨功能漏洞。与许多传统工具相比,TaintGrep不需要完整的源代码或构建环境来进行分析。此外,它支持用户使用自己的漏洞挖掘经验来定义自定义匹配规则,这使得该方法更加灵活和可扩展。在初步实验中,我们详细分析了通用DoS和任意文件读写两种典型漏洞的规则,并在16个知名Android应用中检测到77个基于这些规则的0day漏洞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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